publication

We proposed a smart IoT prototype to make in-vehicle decisions for improving both traffic safety and mobility. This technique can be combined with the smart traffic signals to gain more potential in achieving safer and more sustainable urban mobility. X. Xie and

Our work on leveraging optimization with mixed individual and social learning in cooperative group optimization (CGO) appears on Applied Soft Computing: X. Xie and Z. Wang, “Cooperative group optimization with ants (CGO-AS): Leverage optimization with mixed individual and social learning,”

The work on analyzing traffic impacts under arterial road closures using machine learning techniques on traffic flow data was published online on Journal of Transportation Engineering by American Society of Civil Engineers (ASCE). Y. Gu, Z. Qian, and X. Xie,

As the lead inventor, our co-founder Dr. Xie is granted the U.S. patent for the smart and scalable urban traffic control system. X.-F. Xie, et al. Smart and Scalable Urban Signal Networks: Methods and Systems for Adaptive Traffic Signal Control. U.S. Patent,

The work with the Polymath project was published on Research in the Mathematical Sciences. D. H. J. Polymath. Variants of the Selberg sieve, and bounded intervals containing many primes.Research in the Mathematical Sciences, 2014, 1(12): 1-83. [DOI] Here is the list

The cooperative group optimization system (CGOS) consists of a group of compact agents cooperating with their peers in a sharing environment for realizing a common intention of finding high-quality solution(s) based on the internal landscape representation of an optimization task. Xiao-Feng Xie,